New advances in electronic commerce systems and communication technologies have made the credit card the potentially most popular method of payment for both regular and online purchases; thus, there is significantly increased fraud associated with such ...
Altyeb Altaher Taha +1 more
doaj +3 more sources
Credit Card Fraud Detection using Decision Tree and Random Forest [PDF]
It is the time of technology advancement. Due to internet everything is available at the touch of a finger. There is a benefit of online shopping: first it saves lots of time and second it does not demand to go to market to buy anything.
Shah Dhwanir, Kumar Sharma Lokesh
doaj +1 more source
A systematic review of literature on credit card cyber fraud detection using machine and deep learning [PDF]
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide.
Eyad Abdel Latif Marazqah Btoush +5 more
doaj +2 more sources
Credit Card Fraud Detection Methods: A Review [PDF]
In today’s context, the term “fraud” has become closely intertwined with credit card-related deceit. Recent years have witnessed a notable surge in both credit card utilization and fraudulent activities.
Pundkar Sumedh N., Zubei Mohd
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Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network
In recent years, with the rapid development of Internet technology, the number of credit card users has increased significantly. Subsequently, credit card fraud has caused a large amount of economic losses to individual users and related financial ...
Shanshan Jiang +3 more
doaj +1 more source
A machine learning based credit card fraud detection using the GA algorithm for feature selection
The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
doaj +1 more source
An intelligent approach for anomaly detection in credit card data using bat optimization algorithm
As technology advances, many people are utilising credit cards to purchase their necessities, and the number of credit card scams is increasing tremendously.
Haseena Sikkandar +3 more
doaj +1 more source
Comparative analysis of binary and one-class classification techniques for credit card fraud data
The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-commerce. To address this issue, effective fraud detection methods are essential. Our research focuses on the Credit Card Fraud Detection Dataset, which is a
Joffrey L. Leevy +2 more
doaj +1 more source
CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data
With the continuous expansion of the banks' credit card businesses, credit card fraud has become a serious threat to banking financial institutions. So, the automatic and real-time credit card fraud detection is the meaningful research work.
Wei Li, Cheng-shu Wu, Su-mei Ruan
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Design The Modified Multi Practical Swarm Optimization To Enhance Fraud Detection
Financial fraud remains an ever-increasing problem in the financial industry with numerous consequences. The detection of fraudulent online transactions via credit cards has always been done using data mining (DM) techniques.
Zainab Khamees Muter, Abeer Tariq Molood
doaj +1 more source

